Qwen Image: Illustration LoRA
A t2v workflows for a style LoRA built on Qwen-Image. Produces images spanning cute anime character design, European bande dessinee, indie risograph prints, storybook watercolor, retro shoujo manga, and graphic novel illustration.
例を試す
このワークフローについて
This tutorial workflow pairs the Qwen-Image base model with the Alvdansen Illustration v1.0 style LoRA to turn text prompts into finished illustrations. It’s designed to cover a wide spectrum of illustration looks—cute anime character design, European bande dessinée, indie risograph prints, storybook watercolor, retro shoujo manga, and graphic novel illustration—by steering the base model with a LoRA specifically trained for these aesthetics. The core of the graph is a custom Qwen‑Image generator node (id: e5cfe5ba-2ae0-4bc4-869f-ab2228cb44d3) that accepts your prompt and applies the style LoRA at inference.
A MarkdownNote node provides inline usage tips and links, and a SaveImage node writes your results to disk.
Technically, the workflow loads the Qwen-Image checkpoint and blends in the Alvdansen Illustration LoRA weights at a user-defined strength. Your prompt determines subject and composition; the LoRA biases line work, texture, and palette toward the trained style family. You control the look by adjusting LoRA strength (subtle to strong stylization), resolution/aspect ratio, and seed for reproducibility or variation. This setup is useful when you want consistent art direction without retraining—iterate quickly, compare outputs with different seeds, and fine‑tune style intensity before exporting via the SaveImage node.
よくある質問
Use the LoRA strength in the Qwen‑Image generator node. Higher values push the image closer to the Alvdansen Illustration look; lower values keep more of the base model’s default style. Start around 0.7–0.9 for strong stylization and 0.3–0.6 for subtle influence.
The SaveImage node writes outputs to ComfyUI/output by default. Open the SaveImage node to set the output path and filename prefix so you can organize different runs and styles.
You can stack additional LoRAs only if the Qwen‑Image node you’re using supports multiple adapters. This minimal workflow focuses on a single style LoRA. If you need edge or pose control, use a Qwen‑Image workflow that includes the appropriate conditioning nodes and routes.
Keep the character descriptors in your prompt consistent (hair, outfit, colors, era) and fix the seed while you iterate. When you’re happy with the look, vary the seed slightly for new poses while maintaining the same core description and LoRA strength.